{
 "metadata": {
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "# `prettyplotlib.bar`\n",
      "\n",
      "The default `matplotlib` bar charts are okay, but they leave much to be desired."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import matplotlib.pyplot as plt\n",
      "import numpy as np\n",
      "import string\n",
      "\n",
      "fig, ax = plt.subplots(1)\n",
      "\n",
      "np.random.seed(14)\n",
      "\n",
      "ax.bar(np.arange(10), np.abs(np.random.randn(10)))\n",
      "fig.savefig('bar_matplotlib_default.png')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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LRz52+/ZtVVZW6tlnn9Xq1avV398f8XniGvVobl6aLlJSUnTgwAH98ssvCgQC+vTTT6ft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\nrkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10cac4910>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "%load_ext autoreload\n",
      "%autoreload 2\n"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "ImportError",
       "evalue": "cannot import name remove_chartjunk",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-6-cbd125b6ada2>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mu'load_ext autoreload'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mget_ipython\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmagic\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mu'autoreload 2'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 3\u001b[0;31m \u001b[0;32mimport\u001b[0m \u001b[0mprettyplotlib\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
        "\u001b[0;32m/Users/olga/workspace-git/prettyplotlib/prettyplotlib/__init__.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0m_bar\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mbar\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0m_boxplot\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mboxplot\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      5\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0m_hist\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mhist\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0m_legend\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mlegend\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;32m/Users/olga/workspace-git/prettyplotlib/prettyplotlib/_boxplot.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mmpl\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mmatplotlib\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpyplot\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mprettyplotlib\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mremove_chartjunk\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mImportError\u001b[0m: cannot import name remove_chartjunk"
       ]
      },
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "The autoreload extension is already loaded. To reload it, use:\n",
        "  %reload_ext autoreload\n"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import prettyplotlib"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import prettyplotlib as ppl\n",
      "import matplotlib.pyplot as plt\n",
      "from pandas.util.testing import rands\n",
      "\n",
      "\n",
      "fig, ax = plt.subplots(1)\n",
      "\n",
      "np.random.seed(14)\n",
      "\n",
      "ppl.bar(ax, np.arange(10), np.abs(np.random.randn(10)))\n",
      "\n",
      "fig.savefig('bar_prettyplotlib_default.png')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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+Eft+JiYmVFVVpebmZqWmpto9zrz6+uuvtWzZMvn9/gV7lS797xHi3t5evf/+++rt7VVK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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10c927850>"
       ]
      }
     ],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "And as with `prettyplotlib.hist`, you can also add a grid:"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import prettyplotlib as ppl\n",
      "import matplotlib.pyplot as plt\n",
      "\n",
      "fig, ax = plt.subplots(1)\n",
      "\n",
      "np.random.seed(14)\n",
      "\n",
      "# 'y' for make a grid based on where the major ticks are on the y-axis\n",
      "ppl.bar(ax, np.arange(10), np.abs(np.random.randn(10)), grid='y')\n",
      "fig.savefig('bar_prettyplotlib_grid.png')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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IKCgo0PLly6d87v9v7qysrNQ333wTdDu2RT2UG5sWm/7+fnV3dys/P9/uUSLu448/1mef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\nbylrAAAAAElFTkSuQmCC\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10c916a10>"
       ]
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import prettyplotlib as ppl\n",
      "import matplotlib.pyplot as plt\n",
      "import numpy as np\n",
      "import string\n",
      "\n",
      "fig, ax = plt.subplots(1)\n",
      "np.random.seed(14)\n",
      "n = 10\n",
      "ppl.bar(ax, np.arange(n), np.abs(np.random.randn(n)), annotate=True, grid='y')\n",
      "fig.savefig('bar_prettyplotlib_grid_annotated.png')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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lS5ZAr9djzpw5WL58eas2ixYtQnZ2NhwcHPD5558jODjYLMWSefHDjej+12F3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\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10d792f50>"
       ]
      }
     ],
     "prompt_number": 3
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import prettyplotlib as ppl\n",
      "import matplotlib.pyplot as plt\n",
      "import numpy as np\n",
      "import string\n",
      "\n",
      "fig, ax = plt.subplots(1)\n",
      "np.random.seed(14)\n",
      "n = 10\n",
      "ppl.bar(ax, np.arange(n), np.abs(np.random.randn(n)),\n",
      "        annotate=range(n,2*n), grid='y')\n",
      "fig.savefig('bar_prettyplotlib_grid_annotated_user.png')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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       "text": [
        "<matplotlib.figure.Figure at 0x10d759490>"
       ]
      }
     ],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import prettyplotlib as ppl\n",
      "import matplotlib.pyplot as plt\n",
      "import numpy as np\n",
      "import string\n",
      "\n",
      "fig, ax = plt.subplots(1)\n",
      "np.random.seed(14)\n",
      "n = 10\n",
      "ppl.bar(ax, np.arange(n), np.abs(np.random.randn(n)), annotate=True, xticklabels=string.uppercase[:n], grid='y')\n",
      "fig.savefig('bar_prettyplotlib_grid_annotated_labeled.png')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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NmjWt2qxcuRJZWVmwsLDAJ598Am9vb70US/rFDzEi8ehw+KNWq7F8+XIcOnQI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\nUwAAAABJRU5ErkJggg==\n",
       "text": [
        "<matplotlib.figure.Figure at 0x10d779f50>"
       ]
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [],
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}